Referenced Items are not available for this document.
The adaptive identification of the impulse response of an innovation filter is considered. The impulse response is a finite sum of known basis functions with unknown coefficients. These unknown coefficients are estimated using a pseudolinear regression. This estimate is implemented using a square root algorithm based on a displacement rank structure. When the initial conditions have low displacement rank, the filter update is O(n). If the filter architecture is chosen to be triangular input balanced (TIB), the estimation problem is well conditioned, and a simple, low-rank initialization is available
Published in:
Signal Processing, IEEE Transactions on
(Volume:45
,
Issue:
10
)
Date of Publication: Oct 1997
- Page(s):
- 2616 - 2619
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 5736289
- Digital Object Identifier :
- 10.1109/78.640733
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 1997
- Sponsored by :
- IEEE Signal Processing Society
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